IOT based Air and Sound Pollution Monitoring System

Transcription

1 IOT based Air and Sound Pollution Monitoring System 1 Miss. Ratika R. Damrekar, 2 Miss. Priyanka U. Bhopale, 3 Miss. Riya M. Kode, 4 Mrs. Prakruti P. kulkarni 1,2,3 SSPM s COE Kankavli 4 Associate. Prof. (SSPM s COE Kankavli) ratikadamrekar95@gmail.com, priyabhopale1994@gmail.com, riyakode@gmail.com, peyoosha@rediffmail.com Abstract Pollution is growing issue for these days and rapid change in infrastructure and industrial plant creating environmental issues like climate change, mal functioning and pollution has greatly influence for the need of an efficient, cheap, operational adaptable and smart monitoring system. To bring it under control its monitoring is majorly recommended. To overcome this issue, we are introducing a system through which the level of sound and the existence of the harmful gases in the surroundings can be detected. The growing pollution at such an alarming rate has started creating trouble for the living beings, may it be high decibels or toxic gases present in the environment leaves a harmful effect on human s health and thus needs a special attention. The solution includes the technology internet of things (IoT) which is outcome of merged field of computer science and electronics. Here the sensing devices are connected to embed computing system to monitor the fluctuation of parameters like noise and air pollution level from their normal levels. Keywords: Sound level, Gases, IOT, Sensor etc. I.INTRODUCTION Present innovations in technology mainly focus on monitoring and controlling of different activities these are increasingly merge to reach the human needs. When the objects like environment equipped with microcontroller, sensor devices and various software applications becomes the self-monitoring and self-protecting environment and it is also called as smart environment. The effect due to the environmental changes the plant, animal and human being can be monitor and control by smart environmental monitoring system. by using embedded intelligence the environment makes the environment interactive with other objectives, this is one of the application that smart environment targets. The main aim of this paper was to design and implement an efficient monitoring system through which the required parameters are monitored remotely using internet and the data gathered from the sensors are stored in the cloud and to project the estimated trend on the web browser. A solution for monitoring the noise and carbon dioxide levels i.e., any parameter value crossing its threshold value ranges, for example carbon dioxide levels in air in an area exceeding the normal levels etc., in the environment using wireless embedded computing system is proposed in this paper. The solution also provides an intelligent remote monitoring for an area of interest. In this paper, we also present a trending results of collected or sensed data with respect to the normal or specified ranges of parameters. The embedded system is an integration of sensor devices, wireless communication which enables the user to remotely access the various parameters and store the data in cloud. 232

2 Existing system In previous existing system used zigbee, microcontroller, and raspberry pi. But our system advanced technology is used. We design a tool which will sense quality of air and sound and temperature display it is the form of percentage. Sense how much carbon dioxide, Carbon-Mono oxide and sulphur dioxde is present in air as well as sound display in the form of decible. Sense the temperature and display it in degree celcius. II. REVIEW OF LITERATURE Various efforts have been made up till now in monitoring air and sound level.the contribution of work in this area is mentioned below- 1.IOT based Air and Sound Pollution Monitoring System : The air pollution monitoring system contains sensors to monitor the interested pollution parameter in environment. They simulated the three air pollutants gases including carbon monoxide, carbon dioxide &sulphur dioxide in air because these gases decide the degree of pollution level. They also applied the approach in various applications like leaking cooking gas in our homes, to alert the workers in oil &gas industry to detect the leakage etc.[1] 2. Implementation of an Efficient Noise and Air Pollution Monitoring System Using Internet of Things (IoT) A Smart City is one with at least one initiative addressing one or more of the following six characteristics: Smart Governance, Smart People, Smart Living, Smart Mobility, Smart Economy and Smart Environment. In this simulation, these three gases are successfully tested in four areas. Then extended the simulated results to update in web.[2] 3. An IoT Based Automated Noise and Air Pollution Monitoring System: The proposed embedded device for monitoring noise and air levels in atmosphere to make the environment intelligent or interactive with object. The proposed model is adaptable and distributive in nature to monitor the environmental parameters. The architecture is developed for noise and air pollution monitoring.[3] 4. Implementation of an Efficient Noise and Air Pollution Monitoring System Using Internet of Things (IoT) : In the present era, air and noise pollution is the growing hazardous issue. It is necessary to monitor air quality and keep it under control for a better future and healthy living for all. Here we propose an air quality as well as sound pollution monitoring system that allows us to monitor and check live air quality as well as sound pollution in a particular areas through IOT.[4] 5. A System For Monitoring Air And Sound Pollution Using Ardunio Controller With IOT Technology : Some of the research works carried out for monitoring the pollution parameters in a particular area of interest for making the environment smart in that area, different techniques and methods which were used in the past discussed in this section[5] 6. Industrial Air Pollution Monitoring and Analysis System: An embedded system for hazardous gas detection has been implemented; here only two gases (LPG and Propane) have been detected for demo purpose. The gas sensors and the critical level of the respective gas should be known, and then this system can be implemented for detecting various gases either in domestic area such as places of educational institutions, residential and industrial areas which avoids endangering of human lives. This system provides quick response rate and the diffusion of the critical situation can be made faster than the manual methods[6] 233

3 Proposed System: In previous system raspberry pi,zigbee are used. But in our system areduino uno R3 is used. And it interface with four sensors.here we proposed IOT based air and sound pollution monitarrong system. III. METHODOLOGY Block Diagram: Our proposed system is represented in the block diagram shown below in Figure 1 Gas sensor Sound sensor Temperature sensor Arduino uno R3 microcontroller LCD Display Wi-Fi module Figure 1: Block diagram of proposed system IV. WORKING At the first stage of design a Gas, sound and temperature level sensors are used for sensing Air and sound quality level accurately. Arduino uno R3 is used to control the overall system automatically that reduces the design and control complexity. Arduino takes input from the different sensor unit which senses the Air, Sound and Temperature through sensors. After processing input variables, resultant output decides the level quality of Air and Sound with respect to current environmental status. The temperature at different levels is sensed according to threshold level. When temperature crosses 35C then buzzer will be on. We will get message through web server. Also system keeps measuring Air and Sound level and report it.this information is collected through the web server and allows authority air and sound pollution in different areas and receives the message through .. Here we have used the cloud server named as pubnub which handles the information or data in the cloud. Here it handles the data between the arduino. V. RESULT In Iot based air and sound pollution monitoring system not only authorized person but also common person can check the and get the recent update at every second. 234

4 The main hardware circuit of the project is shown in figure 2 below. It consist of four sensor, Arduino kit, extra designed power supply, buzzer, LCD display and Wi-Fi module. Input: Output: Figure 2: Prototype of proposed system Here we have shown the LCD display which is shown the display of Air, Sound, Temperature and LPG level seperatly. As shown in figure 3 below. And graphical representation of the Air, Sound, Temperature and LPG level indication on the freeboard application. As temperature level crosses 35C freeboard will give its notification. Also Buzzer turns ON for particular time period. Also we get the on mobile, Pc which we have shown in figure 4 below. Figure 3: LCD display 235

5 Figure 4: Graphical display Flowchart: Figure 5: Flow chart of program 236

6 Flow sequence of program execution for monitoring Air and Sound pollution is shown in the flow chart above in figure 5. VI. ADVANTAGES Sensor are easily available. Detecting a wide range of gases, carbon dioxide, carbon mono-oxide, sulphur dioxide, smoke etc. and also detect noise. Simple, compact and easy to handle. Sensors have long life time and less cost. VII. DISADVANTAGES 4 sensor are used. Humidity should be less than 95% and sound should be less than 85db. Accurate measure of containing gases cannot be detected in ppm and sound in db. VIII. FUTURE SCOPE This project is useful for smart city development to monitor air and sound pollution. We can monitor the pollution to control the Air and sound pollution at any place of the world. IX. CONCLUSION By using this project each and every variation of air and sound level is monitoring through internet and thus nearby people can be informed in time. Thus lots of lives can be saved from unpleasant scenarios. Air and sound pollution monitoring system will overcome all the problems related to the environment. REFERENCES 1. IOT based Air and Sound Pollution Monitoring System International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (An ISO 3297: 2007 Certified Organization) Website: Vol. 6, Issue 3, March 2017 Copyright to IJAREEIE 2. Implementation of an Efficient Noise and Air Pollution Monitoring System Using Internet of Things (IoT) International Journal of Advanced Research in Computer and Communication Engineering ISO 3297:2007 Certified Vol. 5, Issue 7, July 2016 AnjaiahGuthi M. Tech Student, ECE, GRIET, Hyderabad, India 3. An IoT Based Automated Noise and Air Pollution Monitoring System International Journal of Advanced Research in Computer and Communication Engineering ISO 3297:2007 Certified Vol. 6, Issue 3, March 2017 Copyright to IJARCCE DOI /IJARCCE Implementation of an Efficient Noise and Air Pollution Monitoring System Using Internet of Things (IoT) International Journal of Advanced Research in Computer and Communication Engineering ISO 3297:2007 Certified Vol. 5, Issue 7, July 2016 Copyright to IJARCCE DOI /IJARCCE AnjaiahGuthi M. Tech Student, ECE, GRIET, Hyderabad, India 5.. International Research Journal In Advanced Engineering And Technology (IRJAET) E - ISSN: P - ISSN : VOL 3 ISSUE 2 (2017) PAGES A System For Monitoring Air And Sound Pollution Using Ardunio Controller With IOT Technology 237

7 1 L.Ezhilarasi, 2 K.Sripriya, 3 A.Suganya, 4 K.Vinodhini. 1Assistant Professor, GanadipathyTulsi s Jain Engineering College, Vellore. 2,3,4 Research scholar, GanadipathyTulsi s Jain Engineering College, Vellore. 6. Industrial Air Pollution Monitoring and Analysis System.International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: JadhavAditya S., PawarVishwajeet P., JorwekarSagar R, JadhavVidya P. Computer Engineering, SPPU, Maharashtra, India 238